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Job Details

Data Scientist 2

Company name
Humana Inc.

Location
Charlotte, NC, United States

Employment Type
Full-Time

Industry
Sciences, Scientist, It

Posted on
Mar 19, 2021

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Profile

Description

This is a unique opportunity for a motivated individual to influence Humana's vision to provide coordinated, integrated care via home care solutions and ECOM (Enterprise Clinical Operating Model). The Data Scientist 2 uses mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions. The Data Scientist 2 work assignments are varied and frequently require interpretation and independent determination of the appropriate courses of action.

Responsibilities

This is a unique opportunity for a motivated individual to influence Humana's vision to provide coordinated, integrated care via home care solutions and ECOM (Enterprise Clinical Operating Model). The Data Scientist 2 uses mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions. The Data Scientist 2 work assignments are varied and frequently require interpretation and independent determination of the appropriate courses of action.

The Data Scientist 2 develops, maintains, and collects structured and unstructured data sets for analysis and reporting. Creates reports, projections, models, and presentations to support business strategy and tactics. Understands department, segment, and organizational strategy and operating objectives, including their linkages to related areas. Makes decisions regarding own work methods, occasionally in ambiguous situations, and requires minimal direction and receives guidance where needed. Follows established guidelines/procedures.

Responsibilities

As a Data Scientist 2 you will:

Design and develop statistical analytics using SAS, SQL, Python, R, and Hive QL programming languages and packages

Build data extracts and determine data patterns from structured and unstructured data

Ensure and maintain data quality and reliability

Research new data sources to identify opportunities to increase analytic capabilities

Analyze large amounts of data and summarize data to formulate conclusions and make recommendations to leadership and colleagues. Includes creating reports and models to support business strategy and tactics

Possesses an understanding of department, segment, and organizational strategy and operating objectives, including their linkages to related areas

Be capable of making decisions regarding own work methods, occasionally in ambiguous situations

Ensure full and clear documentation of all processes, following best practices including peer review of material work products

Must be passionate about contributing to an organization focused on continuously improving consumer experiences

Work as part of a cross-functional team that integrates advanced analytics solutions to support the Home and ECOM business segments

Required Qualifications

Bachelor's Degree in Data Analytics, Computer Science or related quantitative program

4 years technical experience

Experience in developing, maintaining, and collecting structured and unstructured data sets for analysis and reporting

Experience in creating reports, projections, models, and presentations to support business

Experience in using mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions

Possesses an understanding of department, segment, and organizational strategy and operating objectives, including their linkages to related areas

Capable of making decisions regarding own work methods, occasionally in ambiguous situations

Must be passionate about contributing to an organization focused on continuously improving consumer experiences

Preferred Qualifications

Master's Degree

Experience in analyzing data using tools/software such as SAS, Python, R

Clear and concise oral and written communication skillsAbility to communicate statistical concepts to broad audiences

Scheduled Weekly Hours

40

Company info

Humana Inc.
Website : http://www.humana.com

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